Publikationsansicht

Journal of Virtual Reality and Broadcasting, Volume 3(2006), no. 3 Abstract Automatic Data Normalization and Parameterization for Optical Motion Tracking (2008)

Abstract
Methods for optical motion capture often require timeconsuming manual processing before the data can be used for subsequent tasks such as retargeting or character animation. These processing steps restrict the applicability of motion capturing especially for dynamic VR-environments with real time requirements. To solve these problems, we present two additional, fast and automatic processing stages based on our motion capture pipeline presented in [HSK05]. A normalization step aligns the recorded coordinate systems with the skeleton structure to yield a common and intuitive data basis across different recording sessions. A second step computes a parameterization based on automatically extracted main movement axes to generate a compact motion description. Our method does not restrict the placement of marker bodies nor the recording setup, and only requires a short calibration phase.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.112.8126
Quelle http://www.jvrb.org/3.2006/320063.pdf
Mitarbeiter CiteSeerX
Archiv CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords Optical Motion Capture, Automatic Normalization and Parameterization Digital Peer Publishing Licence
Typ text
Sprache Englisch
Verknüpfungen 10.1.1.61.2130, 10.1.1.34.6749, 10.1.1.9.6476